A well-intentioned instinct sits behind strict hotel policies. Travel managers want to protect travelers from surprises. TMCs want to stay ahead of client complaints. So teams tighten policies, restrictions pile up, and the reshop engine has less room to work.
The caution often costs more than the disruption it set out to prevent. In a recent BTN Group “In the Know” webinar developed and sponsored by Oversee, Hotel Product Director Hakim Cherif joined Holly Gribble, Senior Director at World Travel Knoxville, and Nicole Del Sesto, Senior Manager of Global Travel at Applied Materials, with moderator Sam Basson, Customer Solutions Manager at Oversee, who framed the hour around one question: how strict hotel policies can sometimes cost more than they save.
Reshop complements policy
Hakim opened by separating two things programs often conflate. A company’s travel policy, set in the TMC and the booking tool, governs which hotels are allowed and the rate caps. A reshop policy is separate: it controls only what the system may rebook into once a reservation exists. Oversee never changes the hotel itself, only the rate inside the same property, same room category, at a lower cost. The traveler usually notices nothing.
“Nothing stops a regular employee from booking a room within policy that happens to have a jacuzzi,” Hakim explained. “If it’s the lowest rate around, great. But often there’s a cheaper rate available, sometimes even your own negotiated rate, that just doesn’t apply to that specific room. That’s where reshop comes in.”
The levers that cap savings
Bed type is the clearest example. Letting the system switch between configurations, king to two queens or the reverse, can recover roughly 30% more savings. Hotels run heavy dynamic pricing by room type, and a traveler who booked a king often will not get that exact room at check-in anyway. Many programs still hard-block bed changes over a single complaint from the program’s history.
Cancellation terms are the second lever. Programs that demand full flexibility to the day of check-in leave money on the table. A floor of free cancellation 24 to 48 hours before arrival can add 15 to 20% in captured savings, with little real impact on most travelers.
Parking is a third. If a PNR shows a flight and no rental car, the traveler probably will not need it, so Oversee reads the PNR context before preserving a parking inclusion. Small logic, but it adds up across thousands of bookings.
The upgrade effect
One finding cuts against the assumption baked into most policies: in more than 40% of hotel rebookings, the traveler gets an upgrade. A bigger room, a better view, sometimes breakfast added, all at a lower rate than the original booking.
Nicole’s program at Applied Materials shows where nuance matters. The company books roughly 750,000 room nights a year, with 75% of stays running five nights or longer. A reshop setting that moved someone out of a room with a kitchen on a 90-day stay created a real problem regardless of savings. Rather than restrict reshop, the team built the right exceptions: keep the kitchen, protect the longer stays, and let the tool work everywhere else.
Don’t let the ‘one-off’ set the rule
The most common trap in policy design is building around the exception. A traveler complains about a king when they wanted two beds. A rule goes in. Thousands of bookings a month then miss savings.
Applied Materials lived it. A two-bed complaint led to a no-bed-change rule, and the program left, in Nicole’s words, “thousands and thousands of dollars on the table.” Single travelers fill the room 95 to 99% of the time, so the team reversed course and added a PNR override for anyone who genuinely needs two beds.
“Don’t let one traveler complaint dictate your whole hotel or reshop policy,” Nicole said. “You’ll miss out on a lot of savings opportunities, and a lot of upgrades.”
What the TMC sees that a client can’t
The TMC view earns its weight here. Holly’s team reads reshop performance across an entire portfolio, which surfaces patterns no single client can see alone.
One recurring pattern: travelers booking a preferred property but choosing a promotional rate with bonus points that runs $15 to $30 more per night. It clears the rate cap, so the booking tool waves it through, but the premium lands on the company. Reshop catches it and rebooks the same property and room type at the lower rate, often within 15 minutes.
When a program looks healthy but reshop underperforms, Holly treats it as a signal. “When a program appears healthy but reshop is lagging, it usually means the criteria were set too tight, or they don’t match how travelers actually book.” Her team benchmarks the configuration against comparable accounts, “you’re at 12%, a similar program is at 35%, let’s talk about why,” then tests small, reversible adjustments.
“It shifts the conversation from protecting the policy to optimizing the outcome,” Holly said. The distinction is the job.
From reshop data to the QBR
The savings number is what leadership wants. Applied Materials reports a single figure to executives: dollars saved, with hotel desk savings alone covering several salaries a year.
The operational value runs deeper. Holly brings preferred-program rebooking rates into QBRs, showing clients how often reshop recaptured their negotiated hotels at a lower rate, as high as 63% for some accounts. The same data flags properties where preferred rates are not competitive, giving buyers a stronger hand at renewal.
Hakim’s closing advice tied it together: “Use data to turn an emotional conversation about one or two complaints into a rational, value-driven one.”
Finding the right configuration
No single policy fits every program. Long-stay travel differs from project work, and VIPs may warrant tighter rules than the general population. The data points one way: start conservative, then refine on evidence. The strongest reshop programs are the actively managed ones, where configuration evolves with the program and the conversation stays open between travel managers, their TMC, and the travelers.
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